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A leading organization in the Energy Industry.
The organization wanted to use machine learning algorithms to generate a prediction model that forecasts future energy production values based on previous wind speed data to optimize profit and improve performance.
Anticipating and hedging against losses due to output shortfalls can facilitate the improvement of renewable and green energy. However, manual data collection can be a hassle, leading to errors.
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